GB202006809D0 - Variational auto encoder for mixed data types - Google Patents

Variational auto encoder for mixed data types

Info

Publication number
GB202006809D0
GB202006809D0 GBGB2006809.4A GB202006809A GB202006809D0 GB 202006809 D0 GB202006809 D0 GB 202006809D0 GB 202006809 A GB202006809 A GB 202006809A GB 202006809 D0 GB202006809 D0 GB 202006809D0
Authority
GB
United Kingdom
Prior art keywords
data types
mixed data
auto encoder
variational auto
variational
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
GBGB2006809.4A
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Microsoft Technology Licensing LLC
Original Assignee
Microsoft Technology Licensing LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Technology Licensing LLC filed Critical Microsoft Technology Licensing LLC
Priority to GBGB2006809.4A priority Critical patent/GB202006809D0/en
Publication of GB202006809D0 publication Critical patent/GB202006809D0/en
Priority to US16/996,348 priority patent/US20210358577A1/en
Priority to EP21721364.4A priority patent/EP4147173A1/en
Priority to PCT/US2021/026502 priority patent/WO2021225741A1/en
Priority to CN202180033226.XA priority patent/CN115516460A/en
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
GBGB2006809.4A 2020-05-07 2020-05-07 Variational auto encoder for mixed data types Ceased GB202006809D0 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
GBGB2006809.4A GB202006809D0 (en) 2020-05-07 2020-05-07 Variational auto encoder for mixed data types
US16/996,348 US20210358577A1 (en) 2020-05-07 2020-08-18 Variational auto encoder for mixed data types
EP21721364.4A EP4147173A1 (en) 2020-05-07 2021-04-09 Variational auto encoder for mixed data types
PCT/US2021/026502 WO2021225741A1 (en) 2020-05-07 2021-04-09 Variational auto encoder for mixed data types
CN202180033226.XA CN115516460A (en) 2020-05-07 2021-04-09 Variational autocoder for mixed data types

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB2006809.4A GB202006809D0 (en) 2020-05-07 2020-05-07 Variational auto encoder for mixed data types

Publications (1)

Publication Number Publication Date
GB202006809D0 true GB202006809D0 (en) 2020-06-24

Family

ID=71134951

Family Applications (1)

Application Number Title Priority Date Filing Date
GBGB2006809.4A Ceased GB202006809D0 (en) 2020-05-07 2020-05-07 Variational auto encoder for mixed data types

Country Status (2)

Country Link
US (1) US20210358577A1 (en)
GB (1) GB202006809D0 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB201718756D0 (en) * 2017-11-13 2017-12-27 Cambridge Bio-Augmentation Systems Ltd Neural interface
WO2021130754A1 (en) * 2019-12-23 2021-07-01 Ariel Scientific Innovations Ltd. Systems and methods of data compression
US11909482B2 (en) * 2020-08-18 2024-02-20 Qualcomm Incorporated Federated learning for client-specific neural network parameter generation for wireless communication
US20220129707A1 (en) * 2020-10-26 2022-04-28 International Business Machines Corporation Quantifying machine learning model uncertainty
US11288542B1 (en) * 2020-11-17 2022-03-29 Sap Se Learning graph-based priors for generalized zero-shot learning
CN117150243B (en) * 2023-10-27 2024-01-30 湘江实验室 Fault isolation and estimation method based on fault influence decoupling network

Also Published As

Publication number Publication date
US20210358577A1 (en) 2021-11-18

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Legal Events

Date Code Title Description
AT Applications terminated before publication under section 16(1)